ObjectiveTo investigate the migration and distribution characteristics of chemical constituents in blood and hippocampal tissues before and after vinegar processing of Citri Reticulatae Pericarpium Viride（CRPV）， and to explore the potential material basis and mechanisms underlying their regulatory effects on emotional disorders by comparing the effects of raw and vinegar-processed products of CRPV. MethodsUltra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS） was employed to characterize and identify the chemical constituents of raw and vinegar-processed products of CRPV extracts， as well as their migrating components in blood and hippocampal tissues after oral administration. Reference standards， databases， and relevant literature were utilized for compound annotation， with data processing performed using PeakView 1.2 software. Seventy male C57BL/6 mice were randomly divided into seven groups， including the blank group， model group， diazepam group（2.5 mg·kg^-1）， raw CRPV low/high dose groups（0.6， 1.2 g·kg^-1）， and vinegar-processed CRPV low/high dose groups（0.6， 1.2 g·kg^-1）， with 10 mice per group. Except for the blank group， all other groups underwent chronic restraint stress（2 h·d^-1） for 20 d. Each drug-treated group received oral administration at the predetermined dose starting 10 d after modeling， with a total treatment duration of 10 d. Following model-based drug administration， mice underwent open-field， forced swimming， and elevated plus maze tests. After anesthesia with isoflurane， whole brains were collected from each group of mice， and hippocampi were dissected. Reactive oxygen species（ROS） level in hippocampal tissues was quantified by enzyme-linked immunosorbent assay（ELISA）. Hematoxylin-eosin（HE） staining was used to observe hippocampal tissue morphology. Immunofluorescence was performed to detect neuronal nuclei（NeuN） and peroxisome proliferator-activated receptor alpha（PPARα） expressions in hippocampal tissue. Then， pharmacodynamic evaluations were conducted to assess the effects of raw and vinegar-processed CRPV on mood disorders， exploring the potential mechanisms. ResultsVinegar processing caused significant changes in the chemical composition of CRPV， with 18 components showing increased relative content and 35 components showing decreased relative content. The primary changes occurred in flavonoid compounds， including 20 flavonoids， 20 flavonoid glycosides， 3 triterpenes， 3 phenolic acids， 1 alkaloid， and 6 other compounds. Twenty-one components were detected in blood（15 methoxyflavones， 4 flavonoid glycosides， and 2 phenolic acids）， with 17 shared between raw and vinegar-processed CRPV. Seven components reached hippocampal tissues（all common to both forms）. In regulating emotional disorders， Vinegar-processed CRPV exhibited superior antidepressant-like effects compared to raw products. HE staining revealed that both treatments improved hippocampal neuronal morphology， particularly in the damaged CA1 and CA3 regions. Immunofluorescence and ELISA analyses demonstrated that both raw and vinegar-processed CRPV significantly modulated NeuN and PPARα expressions in hippocampal tissue while alleviating oxidative stress induced by excessive ROS（P<0.05）. ConclusionThe chemical composition of CRPV undergoes changes after vinegar processing， but the migrating components in blood and hippocampus are primarily methoxyflavonoids. These components may serve as the potential material basis for activating the PPARα pathway， thereby negatively regulating ROS generation in the hippocampus， reducing oxidative stress， and promoting the development of NeuN-positive neurons. These findings provide experimental evidence for enhancing quality standards， pharmacodynamic material research， and active drug development of raw and vinegar-processed CRPV.

Retinopathy of prematurity(ROP)is a leading cause of childhood blindness, with extremely preterm and very-low-birth-weight infants now constituting the main high-risk group. ROP progresses in two stages: early retinal microvascular degeneration and progressive vascular arrest, followed by abnormal neovascularization in the avascular area. Early oxidative and nitrosative stress—amplified by oxygen fluctuations and immature antioxidant defenses—drives the two-phase pathogenesis via hypoxia-inducible factor/vascular endothelial growth factor(HIF/VEGF), NOX/STAT3, and nuclear factor erythroid 2 related factor 2(Nrf2)-antioxidant response element(ARE)pathways, mediating apoptosis of endothelial cells, damage to barrier and pathological angiogenesis. This review systematically analyzes different oxygen-induced retinopathy(OIR)models, elucidates key signaling pathways including Notch, Wnt in physiological and pathological vascularization, with particular emphasis on the biphasic effects of Nrf2 and the differential roles of NOX signaling between phases. We also discuss the limitations of anti-VEGF therapy and oxygen management principles. Reactive oxygen species(ROS)play context-dependent roles across vaso-obliteration and neovascularization phases. Based on mechanistic insights, we propose future directions including combined/sequential interventions, ferroptosis and lipid peroxidation targeting, nano-delivery systems for enhanced bioavailability, and perinatal safety assessment strategies, aiming to provide translatable mechanistic basis for reducing pathological neovascularization while promoting physiological vascular development.

Objective To propose a multiple regression-variational auto-encoders(MR-VAE)model to realize precise and non-invasive prediction of intra-abdominal pressure(IAP)in critically ill patients.Methods At first,a dataset was constructed by retrospectively analysing baseline characteristics and clinical indicators of 100 critically ill patients admitted to the Intensive Care Unit of Daping Hospital of Army Medical University between 30 August 2019 and 30 March 2021.Then,a MR-VAE prediction model was developed by integrating a feedforward neural network for supervised regression onto a variational autoencoder(VAE)framework and incorporating multiple regression strategies to mitigate feature interference.Finally,the MR-VAE model had its performance evaluated by its comparison with five classical models including support vector machines(SVM),convolutional neural networks(CNN),Scikit-learn integrated model(SIM),multi-layer perceptron(MLP)and K-nearest neighbors(KNN),and its prediction accuracy verified by testing the data of 10 randomly selected patients.Results The MR-VAE model behaved the best when compared with the five classical models,with a mean squared error(MSE)of 0.207,a root mean square error(RMSE)of 0.454,a mean absolute error(MAE)of 0.361,a median absolute deviation(MAD)of 0.243,an explained variance score(EVS)of 0.814 and a R2of 0.823,which also outperformed the five models in fitting performance,convergence and final loss.In random sample testing,the MR-VAE model exhibited high consistency between predicted and actual values.Conclusion The MR-VAE model proposed can accurately predict IAP,which has great potential in reducing the repeated measurements of IAP in critically ill patients and providing new ideas for the early diagnosis and treatment of IAH.

Adipose-derived stem cells(ASCs)have become important seed cells in tissue engineering,because of their unique advantages.Extensive research has been conducted to determine the ideal method of cryopreservation for ASCs.In this review,we summarize the basic cryobiology and cryopreservation protocols for ASCs,and look forward to future research into cryopreservation protocols for ASCs.

OBJECTIVE To analyze the differential chemical composition of Olibanum of different origins and to provide some references for the identification of Olibanum origin and the quality standards.METHODS The chemical compositions of Olibanum were analyzed by UPLC-Q/TOF-MS.Multivariate statistical methods were used to analyze Olibanum and processed products to screen the differential compounds in Olibanum of different origins.RESULTS Using positive and negative ion scanning modes,a total of 108 compounds were identified in Olibanum.The compounds were mainly terpenes,among which triterpenes were the highest.And through multivariate statistical analysis,it was found that there were significant differences in the chemical compositions of Olibanum of different regions,with a total of 34 differential compounds;furthermore,specific compounds unique to Olibanum from other sources were identified.CONCLUSION Different regions of Olibanum could be distinguished based on their differential chemical composi-tions.This study could serve as a basis for identifying different origins of Olibanum,and also provide experimental data for subsequent research on the pharmacological substance basis of Olibanum.

Objective To propose a multiple regression-variational auto-encoders(MR-VAE)model to realize precise and non-invasive prediction of intra-abdominal pressure(IAP)in critically ill patients.Methods At first,a dataset was constructed by retrospectively analysing baseline characteristics and clinical indicators of 100 critically ill patients admitted to the Intensive Care Unit of Daping Hospital of Army Medical University between 30 August 2019 and 30 March 2021.Then,a MR-VAE prediction model was developed by integrating a feedforward neural network for supervised regression onto a variational autoencoder(VAE)framework and incorporating multiple regression strategies to mitigate feature interference.Finally,the MR-VAE model had its performance evaluated by its comparison with five classical models including support vector machines(SVM),convolutional neural networks(CNN),Scikit-learn integrated model(SIM),multi-layer perceptron(MLP)and K-nearest neighbors(KNN),and its prediction accuracy verified by testing the data of 10 randomly selected patients.Results The MR-VAE model behaved the best when compared with the five classical models,with a mean squared error(MSE)of 0.207,a root mean square error(RMSE)of 0.454,a mean absolute error(MAE)of 0.361,a median absolute deviation(MAD)of 0.243,an explained variance score(EVS)of 0.814 and a R2of 0.823,which also outperformed the five models in fitting performance,convergence and final loss.In random sample testing,the MR-VAE model exhibited high consistency between predicted and actual values.Conclusion The MR-VAE model proposed can accurately predict IAP,which has great potential in reducing the repeated measurements of IAP in critically ill patients and providing new ideas for the early diagnosis and treatment of IAH.

Adipose-derived stem cells(ASCs)have become important seed cells in tissue engineering,because of their unique advantages.Extensive research has been conducted to determine the ideal method of cryopreservation for ASCs.In this review,we summarize the basic cryobiology and cryopreservation protocols for ASCs,and look forward to future research into cryopreservation protocols for ASCs.

Objective:To investigate the effects of internet-based cognitive-behavioral therapy(iCBT)on kinesiophobla and rehabilitation outcomes in patients undergoing total knee arthroplasty.Method:A total of 142 patients undergoing total knee arthroplasty were randomly divided into control group and experimental group.The control group received routine nursing intervention,while the experimental group received iCBT intervention in addition to routine car.General data questionnaire,Tampa Scale of Kinesiopho-bia,Self-Efficacy for Rehabilitation Outcome Scale and Hospital for Special Surgery knee score were assessed on postoperative day 2,day 14,at 1 month and 3 months.Result:Between the two groups,there were statistically significant differences in the kinesiophobia score,re-habilitation self-efficacy score and knee function score at the 3rd day,14th day,1 month and 3 months after operation in the experimental group(P＜0.05).Conclusion:iCBT intervention can alleviate the level of kinesiophobla,improve rehabilitation self-efficacy and promote the recovery of knee function in patients after total knee arthroplasty.

OBJECTIVE To analyze the differential chemical composition of Olibanum of different origins and to provide some references for the identification of Olibanum origin and the quality standards.METHODS The chemical compositions of Olibanum were analyzed by UPLC-Q/TOF-MS.Multivariate statistical methods were used to analyze Olibanum and processed products to screen the differential compounds in Olibanum of different origins.RESULTS Using positive and negative ion scanning modes,a total of 108 compounds were identified in Olibanum.The compounds were mainly terpenes,among which triterpenes were the highest.And through multivariate statistical analysis,it was found that there were significant differences in the chemical compositions of Olibanum of different regions,with a total of 34 differential compounds;furthermore,specific compounds unique to Olibanum from other sources were identified.CONCLUSION Different regions of Olibanum could be distinguished based on their differential chemical composi-tions.This study could serve as a basis for identifying different origins of Olibanum,and also provide experimental data for subsequent research on the pharmacological substance basis of Olibanum.

Objective:To investigate the effects of internet-based cognitive-behavioral therapy(iCBT)on kinesiophobla and rehabilitation outcomes in patients undergoing total knee arthroplasty.Method:A total of 142 patients undergoing total knee arthroplasty were randomly divided into control group and experimental group.The control group received routine nursing intervention,while the experimental group received iCBT intervention in addition to routine car.General data questionnaire,Tampa Scale of Kinesiopho-bia,Self-Efficacy for Rehabilitation Outcome Scale and Hospital for Special Surgery knee score were assessed on postoperative day 2,day 14,at 1 month and 3 months.Result:Between the two groups,there were statistically significant differences in the kinesiophobia score,re-habilitation self-efficacy score and knee function score at the 3rd day,14th day,1 month and 3 months after operation in the experimental group(P＜0.05).Conclusion:iCBT intervention can alleviate the level of kinesiophobla,improve rehabilitation self-efficacy and promote the recovery of knee function in patients after total knee arthroplasty.